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    Home/Jobs/AI Engineer, Industrial

    AI Engineer, Industrial

    IFF

    United States
    3-5 years
    Today
    ₹8–10 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Multimodal Approaches
    Python
    Machine Learning
    Foundation Models
    Knowledge Graphs
    Ontologies
    Data Pipelines
    Model Validation
    Mathematical Optimization
    Process Control
    Forecasting
    Anomaly Detection
    Recommendation Systems
    Natural Language Interfaces

    Description

    Are you passionate about innovation that transforms everyday products into extraordinary experiences? IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences, delivering sustainable innovations that elevate everyday products.

    Company: IFF

    Role: AI Engineer, Industrial

    Location: Remote (Wilmington, DE, USA; New York, NY, USA)

    Experience:

    • Demonstrated industrial experience with a proven track record of delivering measurable business impact and driving outcomes in production or operational environments
    • Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solution including demonstrated experience deploying solutions in real industrial or production environments

    Key Skills:

    • Python
    • modern machine learning workflows
    • data preparation
    • modeling
    • validation
    • deployment
    • monitoring
    • frontier AI models
    • large language models
    • foundation models
    • multimodal approaches
    • knowledge graphs
    • ontologies
    • structured domain knowledge
    • mathematical optimization
    • process control
    • forecasting
    • anomaly detection
    • recommendation systems
    • natural language interfaces
    • classification
    • deep learning
    • predictive analytics

    Qualification:

    • Master’s, or PhD degree in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics

    Role Focus:

    • Develop practical AI, machine learning and optimization solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on
    • Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support
    • Build AI-enabled applications that combine models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable
    • Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context
    • Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences
    • Develop robust pipelines for structured and unstructured data, including time-series data, laboratory data, manufacturing data, documents, and scientific or technical knowledge sources
    • Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments
    • Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption

    Nice to have:

    • Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or retrieval-augmented generation for scientific, industrial, or operational use cases
    • Experience in manufacturing, process development, industrial operations, supply chain, biomanufacturing, bioinformatics, chemical processes, advanced process control, or mathematical optimization in technical environments
    • Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production machine learning systems

    Other:

    • Remote-based working model with meaningful collaboration across global teams and regular travel for high-impact engagement
    • Opportunity to apply advanced AI, optimization, and machine learning to real industrial and scientific challenges
    • A role where software engineering, data science, domain knowledge, process control, and practical problem solving come together
    • Exposure to diverse technical communities across Health & Biosciences, operations, digital technology, engineering, and business teams
    • Learning and development opportunities in a global company with a strong innovation culture
    • A collaborative environment where useful, explainable, and trusted solutions matter
    • Compensation ($100,000 - $120,000) is based on a variety of factors including but not limited to work experience, skills, certifications, and location
    • Our benefits package includes medical, dental, vision, 401k, vacation, holidays, paid parental leave (maternity and paternity), and an annual bonus plan

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

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    Python for Everybody Specialization

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    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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